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In recent years, developing needed software applications via the technique Web Service Composition (WSC) has been more and more popular. Moreover, benefit from the Semantic Web Services (SWSs) technology, it is possible to even automatically conduct WSC, i.e. the Automated Web Service composition (AWSC). Currently the AWSC is a well-studied research subject and which means the existence of a large...
In this paper, we introduced an artificial intelligence approach to analyze and calculate the capacity of bulk cargo terminal. It included two parts, the artificial neural network model and the genetic algorithm model. The artificial neural network model was used to analyze the weights between throughput of bulk cargo terminal and impact elements in bulk cargo terminal, and the genetic algorithm model...
In this paper, a fast phoneme recognition system is introduced based on sparse representation. In this approach, the phoneme recognition is fulfilled by Viterbi decoding on support vector machines (SVM) output probability estimates. The candidate classes for classification are adaptively pruned by a k-dimensional (KD) tree search followed by a sparse representation (SR) based class selector with adaptive...
Games are a good medium for artificial intelligence (AI) research, since they compare user and machine behavior directly. AI in games is required to imitate human behavior. Though nowadays the use of rule base scripting and hard code behavior is still dominant in commercial game, the use of learning algorithm can be an alternative because of its ability to adapt to changes and to achieve substantial...
In this paper, we present a robust approach of automatic detection and recognition of road signs in national roads, starting from the images resulting from a video stream taken by a camera embarked on a vehicle. Our approach is composed of three main phases: the first phase is to extract video stream images containing a circle or a triangle. This extraction is performed respectively by Hough transformation...
In this paper, we study how complex object affor-dances can be efficiently learned and how previously learned structures can be used for this purpose. We discuss that besides standard visual features, using previously learned basic affor-dances in predicting complex affordances would speed up this complex learning task. In order to prove our hypothesis, we compared two different types of complex affordance...
It is our great pleasure to welcome you to the Fifth International Conference on Information and Communication System (ICICS2014), which takes place in Irbid on April 1–3, 2014. This year conference is technically co-sponsored by the Institute of Electrical and Electronics Engineers (IEEE).
Nowadays, location based navigation applications for multilayered and complex indoor environments have become an important need. Navigation software for outdoor are improved and widely used, although for indoor navigation studies are needed. In this study, location-based navigation software has been developed for indoor locations. With plugins to navigation software, it can be used in Intelligent...
Increasing population of elderly and people with disabilities constitute a huge demand for wheelchairs. Wheelchairs have an important place to improve the lives of and mobilize people with disabilities. Also, autonomous wheelchairs constitute a suitable research platform for academic and industrial researchers. In this study, a finite state machine-based high-level controller and a Kinect-based navigation...
The C programming language plays an important role in the education of engineers especially in the field of embedded systems. on the other hand C is often a burden for students in the first yer, as they have many difficulties in writing their own programs and the failure rates of course examinations are typically high. We have inverstgated different approaches at our faculty in the last years, how...
There is no doubt to say that researchers have made significant contributions by developing numerous tools and techniques of various Requirements Engineering (RE) processes but at the same time, the field still demands further research to come up with the novel solutions for many ongoing issues. Some of the key challenges in RE may be the issues in describing the system limit, issues in understanding...
Nowadays many Universities around the world use in their student laboratories NI ELVIS and myDAQ [1, 2]. The paper present the recent developed “Student Educational Device for Electronic Applications” StudentEDEA and enlarged scale of his possible applications. StudentEDEA board, launched like final products at the NI DAY Bucharest October 2013, is one reprogrammable add-on card that can extend laboratory...
In this paper, a java-based simulator of dynamical systems and signals is presented. This simulator implements linear low-order process models. Stability analysis, open-loop control and closed-loop tests can be done with the application. Analysis of signals and noise is available using the Fast Fourier Transform (FFT). The main contribution is a Java application that can be used by the instructor...
This paper includes method of parameter estimation on a synchronous generator exciter using the particle swarm optimization. A solid round rotor synchronous generator and exciter have been modeled as the linear state variable with additional saturation function. The results of the simulation which the parameters of the exciter could be obtained by an objective function with integral squared error...
BI is at a crossroads, its place as an integral part of Data Management is secure, with everyone from the public to the private sector incorporating data into their operational processes. Yet, as the reliance on data increases, the nature of the role that BI will play in future data integration is split into two diametrically opposed possibilities that can substantially alter the form of Data Management...
Adaptive neuro-fuzzy inference systems (ANFIS) has the advantage of expert knowledge of the fuzzy inference system (FIS) and learning capabilities of the neural networks (NN) for control of a nonlinear system. The membership function parameters are tuned using a combination of the least squares estimation and back propagation. So, a control method using ANFIS will produce more accurate results compared...
Microfluidic systems, which handle fluids in very small quantities, are becoming increasingly popular in biomedical applications. This research aims to develop a wireless power supply module which can drive microfluidic sensor and actuator systems using inductive power transfer (IPT) with super capacitor storage. The main challenge is to source a variety of microvalves which have different power requirements...
In this paper we examine the possibilities for analyzing the behavior of library users. We point out that the softwares that we can use cannot fulfill library requirements. There are many data given for on-line searches in library systems hidden from the analyzers. After examining the possibilities and some log files produced by the library systems, we propose how log files could give more usable...
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